Forum Discussion
Change filter condition on basis dropdown .
Hi i'm trying write a dax, drop down containing column list. So on selection of dropdown I can swith filter conditon from Col[A] to Col[B].
Measure:
test= calculate(distinctCount(Table1[ABC]),
filter(Table1,Table1[A] / Table1[B] <=max(table2[col])
&&
Table1[A] / Table1[B] >=min(table2[col])
)
So, If i select A from drop down then Table1[A] or If i select B from drop down then Table1[B].
Is there any way I can achieve this.
Hi Anonymous ,
Write two measures,
Column A = calculate(distinctCount(Table1[ABC]),
filter(Table1,Table1[A] <=max(table2[col])
&&Table1[A] >=min(table2[col])
Column B= calculate(distinctCount(Table1[ABC]),
filter(Table1,Table1[B] <=max(table2[col])
&&Table1[B] >=min(table2[col])
Then create a table: (This table is not connected to any table) Used to harvest the measure.
Change the sort order of Column Name to Measure ID.
Create a measure [Use this column] = SELECTEDVALUE(TABLE[Measure ID])
Create a measure [Column A] = 1 (Instead of the = 1, it would contain your formula)
Create a measure [Column B] = 2
Put the column [Measure ID] on a slicer, and then I used a card to display results using measure [Use this column]
If this solves your issue please mark this as the solution. Kudos are nice too!
1 Reply
- Nathaniel_C
Community Champion
Hi Anonymous ,
Write two measures,
Column A = calculate(distinctCount(Table1[ABC]),
filter(Table1,Table1[A] <=max(table2[col])
&&Table1[A] >=min(table2[col])
Column B= calculate(distinctCount(Table1[ABC]),
filter(Table1,Table1[B] <=max(table2[col])
&&Table1[B] >=min(table2[col])
Then create a table: (This table is not connected to any table) Used to harvest the measure.
Change the sort order of Column Name to Measure ID.
Create a measure [Use this column] = SELECTEDVALUE(TABLE[Measure ID])
Create a measure [Column A] = 1 (Instead of the = 1, it would contain your formula)
Create a measure [Column B] = 2
Put the column [Measure ID] on a slicer, and then I used a card to display results using measure [Use this column]
If this solves your issue please mark this as the solution. Kudos are nice too!